Instructions to use dl1wjd2/Logistics_AX with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ultralytics
How to use dl1wjd2/Logistics_AX with ultralytics:
from huggingface_hub import hf_hub_download from ultralytics import YOLO # pick the weights file from this repo's "Files and versions" tab weights = hf_hub_download("dl1wjd2/Logistics_AX", "<weights>.pt") model = YOLO(weights) source = 'http://images.cocodataset.org/val2017/000000039769.jpg' model.predict(source=source, save=True) - Notebooks
- Google Colab
- Kaggle
File size: 520 Bytes
bbae060 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 | # file generated by vcs-versioning
# don't change, don't track in version control
from __future__ import annotations
__all__ = [
"__version__",
"__version_tuple__",
"version",
"version_tuple",
"__commit_id__",
"commit_id",
]
version: str
__version__: str
__version_tuple__: tuple[int | str, ...]
version_tuple: tuple[int | str, ...]
commit_id: str | None
__commit_id__: str | None
__version__ = version = '4.2.4'
__version_tuple__ = version_tuple = (4, 2, 4)
__commit_id__ = commit_id = None
|